update doc

docs/framework/operators/machine-learning/tree-regressor/README.md

@@ -20,3 +20,4 @@ Orion supports currently only fixed point data types for `TreeRegressorTrait`.
 | --- | --- |
 | [`tree.fit`](tree.fit.md) | Constructs a decision tree regressor based on the provided data and target values. |
 | [`tree.predict`](tree.predict.md) | Given a set of features, predicts the target value using the constructed decision tree. |
+

docs/framework/operators/machine-learning/tree-regressor/tree.predict.md

@@ -1,6 +1,6 @@
-# tree.predict
+# TreeRegressorTrait::predict
 
-```rust
+```rust 
    fn predict(ref self: TreeNode<T>, features: Span<T>) -> T;
 ```
 

docs/framework/operators/tensor/tensor.sign.md

@@ -5,6 +5,7 @@
 ```
 
 Calculates the sign of the given input tensor element-wise.
+If input > 0, output 1. if input < 0, output -1. if input == 0, output 0.
 
 ## Args
 

src/operators/tensor/core.cairo

@@ -77,6 +77,7 @@ impl TensorSerde<T, impl TSerde: Serde<T>, impl TDrop: Drop<T>> of Serde<Tensor<
 /// squeeze - Removes dimensions of size 1 from the shape of a tensor.
 /// unsqueeze - Inserts single-dimensional entries to the shape of an input tensor.
 /// sign - Calculates the sign of the given input tensor element-wise.
+/// clip - Clip operator limits the given input within an interval.
 ///
 trait TensorTrait<T> {
     /// # tensor.new
@@ -2646,6 +2647,7 @@ trait TensorTrait<T> {
     /// ```
     ///
     /// Calculates the sign of the given input tensor element-wise.
+    /// If input > 0, output 1. if input < 0, output -1. if input == 0, output 0.
     ///
     /// ## Args
     ///